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A Data-Governed Framework for Converting Underground Engineering Data into Traceable Digital-Twin Objects

Year: 2026

Type: preprint

Source: SSRN Electronic Journal

DOI: 10.2139/ssrn.7365859

Authors: Ruiyu Liang, Chengguo Zhang, Tao Fan, Ismet Canbulat, Liang Ma, Serkan Saydam

Institution: UNSW Sydney

Topic: 3D Modeling in Geospatial Applications

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W7204565416

Cites: 28

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